iPlotCSV
iPlotCSV is a web tool for visualizing CSVs. Drop your file, pick your columns, get an interactive chart. That's it. No signup. Includes a full suite of post processing tools, filters, engineering functions for strain gauges, etc. We all know setting up python or creating slow and non interactive charts in Excel sucks.
iPlotCSV launched on February 2, 2026 with 2 votes, #6,500 of 16,627 launches that month.
What it does
Ever export a CSV then blow 20 minutes fighting Excel charts or firing up a Python script just to look at your data? iPlotCSV is a web tool for visualizing CSVs. Drop your file, pick your columns, get an interactive chart. That's it. No signup. No installs. No scripts. Just your data, visualized, fast. Built for anyone who's ever struggled with CSV data visualization and collaboration!
Plot CSV files online for free. Create interactive line, scatter, bar, and area charts, compare multiple files, and analyze data without signup.
Upload a CSV file and create interactive graphs and charts in seconds. Build line, scatter, bar, and area plots without spreadsheets or signup. Create a free account to keep dashboards and access from any device. Turn one or more CSV files into an interactive dashboard with line charts, scatter plots, bar charts, area charts, sharing, and advanced analysis. Craft dense dashboards or focused single-chart stories with the same dataset. Click around, run math series, tweak settings, and share results in seconds. Manage columns, units, and metadata without leaving the canvas. Create derived columns with precise formulas and conversions. Auto-detects column types and units from headers in…from iplotcsv.com
In the maker’s words, at launch
Try it free, no signup required, forever! We all know setting up python or creating slow and non interactive charts in Excel sucks.
Does a similar job
all alternatives →- VOVisprex – Open-source, in-browser data visualisation tool for CSV files2024 · docs.visprex.com · ▲194
Hello HN. I've always found writing data visualisation scripts boring and repetitive in data science workflows earlier in my career, so I built this tool to automate it. The available methods are based on my experience in econometrics where histograms and scatterplots were the starting points to check data distributions. The link is to the documentation and the app is freely available at https://visprex.com, and if you're curious about the implementation it's open source at https://github.com/visprex/visprex. I'd appreciate any comments and feedback!
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